code: def test_deterministic_pytorch():
      """Test deterministic behavior of PyTorch"""
      deterministic.set_seed(111)
      rand_tensor = torch.rand((5, 5))
      deterministic_tensor = torch.Tensor(
          [
              [
                  0.715565920,
                  0.913992643,
                  0.281857729,
                  0.258099794,
                  0.631108642,
              ],
              [
                  0.600053012,
                  0.931192935,
                  0.215290189,
                  0.603278518,
                  0.732785344,
              ],
              [
                  0.185717106,
                  0.510067403,
                  0.754451334,
                  0.288391531,
                  0.577469587,
              ],
              [
                  0.035843492,
                  0.102626860,
                  0.341910362,
                  0.439984798,
                  0.634111166,
              ],
              [
                  0.622391582,
                  0.633447766,
                  0.857972443,
                  0.157199264,
                  0.785320759,
              ],
          ]
      )
  
      assert torch.all(torch.eq(rand_tensor, deterministic_tensor))
  
file_path: garage/tests/garage/experiment/test_deterministic.py
imports: import random
  import numpy
  import tensorflow
  import torch
  from garage.experiment import deterministic
label_desc: Use image node_id 1 for calling a global function with example usage: test_deterministic_pytorch() without return types